End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 28.79345603271984
+      value: 29.18882072256305
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the common_voice_16_1 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9046
-- Wer: 28.7935
+- Loss: 0.9322
+- Wer: 29.1888
 
 ## Model description
 
@@ -69,14 +69,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.0092        | 4.02  | 1000 | 0.8223          | 32.0654 |
-| 0.0039        | 9.01  | 2000 | 0.8388          | 30.5203 |
-| 0.0001        | 13.02 | 3000 | 0.8310          | 29.4479 |
-| 0.0           | 18.01 | 4000 | 0.8598          | 28.9571 |
-| 0.0           | 23.0  | 5000 | 0.8776          | 28.9162 |
-| 0.0           | 27.02 | 6000 | 0.8911          | 28.9162 |
-| 0.0           | 32.01 | 7000 | 0.9006          | 28.8298 |
-| 0.0           | 36.03 | 8000 | 0.9046          | 28.7935 |
+| 0.0044        | 4.02  | 1000 | 0.9078          | 32.9698 |
+| 0.0039        | 9.01  | 2000 | 0.8743          | 31.2338 |
+| 0.0014        | 13.02 | 3000 | 0.8763          | 30.7476 |
+| 0.0           | 18.01 | 4000 | 0.8731          | 30.0250 |
+| 0.0           | 23.0  | 5000 | 0.8994          | 29.5024 |
+| 0.0           | 27.02 | 6000 | 0.9165          | 29.3615 |
+| 0.0           | 32.01 | 7000 | 0.9277          | 29.2297 |
+| 0.0           | 36.03 | 8000 | 0.9322          | 29.1888 |
 
 
 ### Framework versions